Foundations of distributed artificial intelligence
Foundations of distributed artificial intelligence
On stable social laws and qualitative equilibria
Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Rights and Argumentation in Open Multi-Agent Systems
Artificial Intelligence Review
The Dynamic Selection of Coordination Mechanisms
Autonomous Agents and Multi-Agent Systems
On the synthesis of useful social laws for artificial agent societies
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Experimental comparison of rational choice theory, norm and rights based multi agent systems
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
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As utility calculus cannot account for an important part of agents’ behaviour in Multi-Agent Systems, researchers have progressively adopted a more normative approach. Unfortunately, social laws have turned out to be too restrictive in real-life domains where autonomous agents’ activity cannot be completely specified in advance and the complexity of the system is ever changing. The idea of Rights is a halfway concept between anarchic and off-line constrained interaction. Rights improve coordination and facilitate social action in Multi-Agent domains through adjusting the coordination mechanisms to the complexity of the system. So far rights have not been tested or proven experimentally. We are comparing experimentally the three mentioned interaction architectures in the domain of agent-based traffic simulation.